
eCommerce • Entertainment • Sports
Gametime is a platform that offers last-minute ticket deals for sports, music, theater, and other live events. Users can access tickets for a wide range of events, including college football, concerts, comedy shows, theater performances, and professional sports leagues such as the NFL, NBA, MLB, NHL, and MLS. The platform emphasizes a user-friendly experience with features like all-in pricing to avoid hidden fees and a lowest price guarantee. Gametime aims to provide an easy and affordable way for users to experience live entertainment in various cities across North America.
November 21
🇺🇸 United States – Remote
💵 $254.2k - $299k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor

eCommerce • Entertainment • Sports
Gametime is a platform that offers last-minute ticket deals for sports, music, theater, and other live events. Users can access tickets for a wide range of events, including college football, concerts, comedy shows, theater performances, and professional sports leagues such as the NFL, NBA, MLB, NHL, and MLS. The platform emphasizes a user-friendly experience with features like all-in pricing to avoid hidden fees and a lowest price guarantee. Gametime aims to provide an easy and affordable way for users to experience live entertainment in various cities across North America.
• Lead, mentor, and develop a team of ML Engineers through 1-on-1s, performance reviews, and career development planning • Define technical vision and roadmap while collaborating with leadership and cross-functional partners to align priorities • Drive engineering excellence by establishing best practices for code quality, testing, and deployment • Design and implement end-to-end ML applications, owning the full lifecycle from ideation to production deployment • Architect high-performance solutions that directly impact key business metrics (NARPAU, GMV, revenue) while partnering with the ML Platform team to leverage and shape infrastructure • Provide technical leadership through code reviews, system design guidance, and staying current with emerging ML technologies
• 7+ years of hands-on industry experience in machine learning engineering or related roles • 2+ years of technical leadership or people management experience • Proven track record of deploying ML models into production applications at scale • Bachelor’s degree or higher in Computer Science, Machine Learning, or related technical field • Prior experience managing ML/AI teams specifically • Experience in startup or high-growth environments
• N/A
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